Predictive Power Control Circuit Model With T-DET-FF for Hybrid Pulsed Latch Implementation Sharath Chandra Inguva, B. Mythily Devi, Anitha Bujunuru, R. Shashikala, O. Ravinder Journal of Engineering Science and Technology Review, 2023 Pulsed Latches circuits are one important aspects of the reduction of power for each read and write operations in memories. As the design complexity with reduction of nanometers increases the design analysis on power and other performance factors with relate to foundry techniques encapsulated in Semiconductor gates. With importance of low power feature in memories are implied with reduction of size of the transistor and its implementation with type of application chosen. In this paper, we implicate on the feature of power reduction models with a hybrid feature of T-DET-FF modelling with PPC circuit design using transistor gates. With regards of the power and the transistor size the proposed algorithm sufficiently provides the values W/L ratio to implicate the different conditions for Pulsed latches for memory write and read conditions. The simulated results with D-T-FF are implicated with Dynamic CMOS latch with PPC circuit as the comparison of different foundries with 32nm, 45nm and 65nm
Throughput Optimization of Parallel Sensing and Energy Harvesting Cognitive Radio Network Anitha Bujunuru, Srinivasulu Tadisetty Traitement Du Signal, 2021 In cognitive radio, throughput of secondary user (SU) will depend on spectrum sensing performance and available power of secondary user to transmits data. As the secondary user dissipates energy for spectrum sensing operation and to maintain cooperation among multiple SUs can results in reduction of transmission power. To compensate this energy, an energy harvesting technique has introduced in cognitive radio by which SU can harvest energy from primary (PU) signal and this harvested energy will be utilized to transmit its data and increases the lifetime. In a traditional Energy Harvesting Cognitive Radio Network (EHCRN), SU can perform sensing and harvesting in separate slots which decrease the transmission time of secondary user results in reduction in throughput. To enhance the throughput of secondary user, a parallel operation of spectrum sensing and energy harvesting has been discussed. This parallel operation results in reduction of energy consumption and increases harvested energy that makes more energy to be available for transmission, which results in an increase of SU throughput. Simulation results using MATLAB shows that the proposed Parallel Sensing and Energy Harvesting CRN have improved the throughput compared to Traditional Energy Harvesting CRN and are analyzed with different parameters.
Performance analysis of full duplex energy harvesting cognitive radio network International Journal on Technical and Physical Problems of Engineering, 2020
Residual energy of energy harvesting cognitive radio networks Anitha Bujunuru, , Prof.Srinivasulu Tadisetty, and International Journal of Engineering and Advanced Technology, 2019 This paper analyzes cooperative spectrum sensing with energy harvesting using power splitting mode of operation simultaneously. Secondary users (SU) will harvests RF energy from primary user (PU) throughout the durations of sensing and transmission. The main aim of this paper is to analyze the residual energy of SU with power splitting ratio, number of samples, number of SUs and probability of detection. Mathematical expressions of energy consumption, harvested energy and residual energy are developed. The simulation results of residual energy with different parameters are verified and have proved that residual energy of SUs is increased with increase in power splitting ratio, number of SUs, number of samples of SU for sensing and probability of detection.
A Survey on Spectrum Sensing Techniques and Energy Harvesting Anitha Bujunuru, T. Srinivasulu 2018 International Conference on Recent Innovations in Electrical Electronics and Communication Engineering Icrieece 2018, 2018 The rapid development in wireless communication shows that the requirement of much more efficient spectrum management schemes. Several works have exhibits that majority of allocated spectrum is underutilized. Cognitive radio (CR) is a technology that aims to increase the utilization of licensed frequency spectrum by providing opportunistic access to secondary user (SU) by dynamic spectrum access without providing intervention to primary user. The most fundamental problem in CR is spectrum sensing that can detects the appearance of primary user (PU) in licensed band. Whenever the PU is under gone into fading or shadowing, spectrum sensing has lower probability of detection. The basic problems of sensing are avoided by considering cooperative spectrum sensing that requires the part of SU’s energy for cooperation and this reduces the energy of the SU. In Energy harvesting, SU can harvest the RF energy from the received PU signal. This harvested energy is transformed to electric power to compensate the power required for cooperative spectrum sensing (CSS) there by improve the transmission efficiency of SU. This paper gives a analysis on spectrum sensing techniques, cooperative spectrum sensing and energy harvesting techniques.
